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European hourly NEP, NPP, GPP and heterotrophic respiration for 2010-2025 based on LPJ-GUESS (generated in 2026)

Collection
10.18160/W3N3-9S4D (target, metadata)

The product is generated in 2026. LPJ-GUESS (version 4.1, revision 14038) is forced with hourly ERA5 climate datasets to simulate European terrestrial CO2 flux at a resolution of 0.5 degree. LPJ-GUESS is a process-based dynamic global vegetation model, it uses time series data (e.g. climate forcing and atmospheric carbon dioxide concentrations with WMO CO2 X2019 scale) as input to simulate the effects of environmental change on vegetation structure and composition in terms of EU plant functional types (PFTs), soil hydrology and biogeochemistry (Smith et al., 2001, https://web.nateko.lu.se/lpj-guess/). The model simulates natural vegetation, pasture, and cropland vegetation, with land cover data derived from LUH2. This means that the simulations account for land use and land-use change. The positive value means CO2 uptake from the atmosphere, and the negative value means CO2 release to the atmosphere.

2026
ICOS ERIC - Carbon Portal
Terrestrial Ecosystems, Land Biogeochemistry, Land Surface, Carbon cycle, Ecosystem Model, Carbon Flux
Wu, Z., 2026. European hourly NEP, NPP, GPP and heterotrophic respiration for 2010-2025 based on LPJ-GUESS (generated in 2026). https://doi.org/10.18160/W3N3-9S4D
BibTex
@misc{https://doi.org/10.18160/w3n3-9s4d,
  doi = {10.18160/W3N3-9S4D},
  url = {https://meta.icos-cp.eu/objects/nYi7PrbsX23SWZj5blnm8QTV},
  author = {Wu, Zhendong},
  keywords = {Terrestrial Ecosystems, Land Biogeochemistry, Land Surface, Carbon cycle, Ecosystem Model, Carbon Flux},
  title = {European hourly NEP, NPP, GPP and heterotrophic respiration for 2010-2025 based on LPJ-GUESS  (generated in 2026)},
  publisher = {ICOS ERIC - Carbon Portal},
  year = {2026},
  copyright = {Creative Commons Attribution 4.0 International}
}
RIS
TY  - DATA
T1  - European hourly NEP, NPP, GPP and heterotrophic respiration for 2010-2025 based on LPJ-GUESS  (generated in 2026)
AU  - Wu, Zhendong
DO  - 10.18160/W3N3-9S4D
UR  - https://meta.icos-cp.eu/objects/nYi7PrbsX23SWZj5blnm8QTV
AB  - The product is generated in 2026. LPJ-GUESS (version 4.1, revision 14038) is forced with hourly ERA5 climate datasets to simulate European terrestrial CO2 flux at a resolution of 0.5 degree.  LPJ-GUESS is a process-based dynamic global vegetation model, it uses time series data (e.g. climate forcing and atmospheric carbon dioxide concentrations with WMO CO2 X2019 scale) as input to simulate the effects of environmental change on vegetation structure and composition in terms of EU plant functional types (PFTs), soil hydrology and biogeochemistry (Smith et al., 2001, https://web.nateko.lu.se/lpj-guess/). The model simulates natural vegetation, pasture, and cropland vegetation, with land cover data derived from LUH2. This means that the simulations account for land use and land-use change. The positive value means CO2 uptake from the atmosphere, and the negative value means CO2 release to the atmosphere.
KW  - Terrestrial Ecosystems
KW  - Land Biogeochemistry
KW  - Land Surface
KW  - Carbon cycle
KW  - Ecosystem Model
KW  - Carbon Flux
PY  - 2026
PB  - ICOS ERIC - Carbon Portal
ER  -

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